Nowadays many products made in high-volume manufacturing industries are based on metal forming, which is becoming increasingly complex due to cost reductions, demands for tight tolerances and use of advanced high-strength steels, which exhibit a very high level of springback. From the point of view of cost reductions, it is essential that springback is taken into consideration during tool design with the help of virtual simulation and optimization tools thus minimizing the probability of costly modifications on the actual tool in later production phases. In this thesis we present the M-DA springback optimization tool, which addresses the aforementioned problem providing the possibility of a relatively easy and effective forming tool geometry optimization for 2D forming problems. The M-DA can be used through GUI and enables an automatic tool compensation based on a pre-defined forming simulation. The M-DA principles are presented in detail as is its Python-based implementation into Abaqus. All implementation solutions are described in general terms, while the key ones are explained in more detail and using concrete examples. Lastly, the M-DA optimization results are shown in four test cases which exhibit significantly reduced deviations from desired shape.
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